Field
This disclosure is generally related to name resolutions in networks. More specifically, this disclosure is related to a method and a system that can provide a unifying framework for name resolution across heterogeneous name-resolution systems.
Related Art
Service discovery and name resolution are vital operations in any network. Users and applications often use text-based strings, such as uniform resource locators (URLs), rather than network addresses to indicate the content or services they require, and these names must then be mapped to network addresses before communication is possible. Such a name-resolution requirement applies to today's and future networks and the Internet at large.
Unfortunately, current approaches to name resolution are unable to support future networking environments that include different types of network, each using a different name-resolution protocol. This is because no single name-resolution protocol has been devised that works well across all types of network, and the different currently available name-resolution protocols have not been designed to interoperate with one another. For example, consider the case in which a user accidentally leaves her laptop at home and wishes to access it from her office. The laptop most likely uses multicast domain name system (mDNS) to name itself on the home network, but the user has no way of resolving this name outside of that home network environment and, thus, cannot discover the laptop. As another example, nodes in a mobile ad hoc network (MANET) may use a distributed protocol to resolve each other's names, but there is no protocol for them to extend this name resolution to the Internet through the domain name system (DNS), despite the presence of a network-layer gateway bridging the MANET to the Internet.
Currently available systems for name resolution and service discovery can be loosely categorized into client-server systems, peer-to-peer systems, or systems based on overlay networks. Additionally, there are hybrid systems employing more than one of these architectures.
The most widely used system for name resolution today is the domain name system (DNS). DNS relies on a hierarchy of servers that must be configured to forward a name request to the appropriate server, which then resolves that name request to an IP address. Through the use of this hierarchy, load-balancing “secondary” servers, and caching, DNS provides name resolution for the entire Internet today. However, this scalability comes with a price. First, DNS relies completely on these servers: if the authoritative DNS server for a subdomain “example.com” is down, overloaded, or configured incorrectly, then all DNS lookups for “*.example.com” will fail and “www.example.com” is not reachable, regardless of the state of the web server itself. Second, the DNS relies on hosts to configure their IP addresses with their DNS servers using out-of-bound communications, which results in a static system that cannot support dynamic networks. Dynamic DNS seeks to alleviate these limitations by specifying an UPDATE record type; however, it still requires that (1) the host knows the IP address of its authoritative DNS server a priori, and (2) the host successfully sends an update to the authoritative server every single time its IP address changes.
Examples of peer-to-peer systems include mDNS, Simple Service Discovery Protocol (SSDP), and Service Location Protocol (SLP). These peer-to-peer systems do not require a central server to operate, and as a result, minimal configuration is required. These zero configuration (zeroconf) systems are well suited for dynamic environments where hosts come up, go down, and change IP addresses frequently, such as home networks configured with Dynamic Host Configuration Protocol (DHCP) or AutoIP. Unfortunately, all peer-to-peer systems currently share a heavy reliance on IP multicast to propagate both name requests and service announcements through the entire network. As a result, they suffer from relatively high latency and cannot scale, which restricts these protocols to local area networks (LANs) where internal names are denoted by the top-level domain (TLD), “.local.”
It is also possible to deploy DNS over an overlay network that uses a distributed hash table (DHT) to reduce the load on individual servers and thus provide higher scalability and better fault tolerance. DHTs serve to decouple the physical location of an entry from its logical location. This architecture helps with load-balancing, removes hot spots and bottlenecks in the hierarchy, and creates a system that is orders of magnitude harder to attack. These benefits are typically achieved by enforcing a flat namespace, where all records in the system are stored as equal objects in one giant DHT. Unfortunately, these approaches rely on a network environment in which the nodes of the overlay are static and available with high uptime, the topology is connected, and links have plenty of bandwidth. The performance of DHTs degrades significantly in dynamic networks as a result of excessive overhead resulting from topology-independent overlay addresses, link failures, and node mobility.
SLP introduces the concept of an optional “Directory Agent” (DA). In the SLP system, all nodes in a network must contact the DA first if it is present. In the case of MANETs, a virtual backbone of “Service Broker Nodes” (SBNs) forms a dominating set in a MANET and proactively maintains routes through the MANET to each other. These approaches attempt to increase scalability by only allowing a select subset of nodes to query the entire network, and requiring that other nodes communicate with their closest directory node. However, they all share the same drawback. More specifically, in these systems communication between directory nodes is unstructured and accomplished by flooding a name request to all other directory nodes, which scales as poorly as the peer-to-peer systems. Multi-level distributed hash table (MDHT) addresses this issue by proposing a hierarchy of DHTs, but cannot scale to large numbers of records because it requires the top-level DHT to contain every record in the system.
Currently available name-resolution protocols lack interoperability, meaning that the different protocols (such as mDNS and DNS) cannot talk to each other, even though mDNS might be best for home networks and DNS might be best for the Internet. One way to support multiple protocols is to designate some top-level domains or TLDs (such as “.local”) for certain protocols and to have the node generating a request use the TLD to decide which protocol should be used. Other approaches have been limited to developing higher-layer application programming interfaces (APIs) that mask implementation differences between protocols that already share the same basic architecture, such as SSDP and SLP. Another approach for interoperability across different network architectures, both for routing and name resolution is to divide networks into contexts and use interstitial functions to translate between contexts, instead of requiring all networks to use the same protocol. However, the latter approach may still face problems of scalability and coherency if the number of separate contexts becomes too high or if entire contexts exhibit a high degree of mobility.
One embodiment of the present invention provides a system for resolving a name request in a network comprising a plurality of groups that use different name-resolution schemes. During operation, the system receives, at a first group, the name request; identifies a parent group of the first group, which is a member of the parent group; and in response to failing to resolve the name request within the first group, forwards the name request to the identified parent group.
In a variation on this embodiment, in response to the parent group not responding to the name request, the system forwards the name request to a grandparent group of the first group.
In a variation on this embodiment, the system receives a response to the name request, which indicates a network address of the requested name and a network address of an intermediate node; caches the network address of the requested name; determines, based on a hierarchy of the groups, whether a hierarchy level of the intermediate node is equal to or below the first group; and in response to the hierarchy level of the intermediate node being equal to or below the first group, caches the network address of the intermediate node.
In a variation on this embodiment, the system determines that a cached entry associated with the name request exists, and forwards the name request or generates a response based on the cached entry.
In a variation on this embodiment, the plurality of groups include one or more of: a Domain Name System (DNS) based group, a multicast DNS (mDNS) based group, and a group that uses a distributed hash table (DHT) based name-resolution scheme.
In a variation on this embodiment, the system responds with an error message to the name request in response to failing to forward the name request.
In the figures, like reference numerals refer to the same figure elements.
The following description is presented to enable any person skilled in the art to make and use the embodiments, and is provided in the context of a particular application and its requirements. Various modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present disclosure. Thus, the present invention is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Overview
Embodiments of the present invention provide a method and a system that provides a unified name-resolution framework designed to enable efficient name resolution across heterogeneous name-resolution systems operating in dynamic or static networks. Under the unified name-resolution framework, network nodes are organized into name-resolution groups (NRGs), with each group being allowed to perform name resolution independently in different ways. The system arranges these NRGs into a hierarchy and allows them to communicate efficiently, discover each other's presence, and resolve each other's names.
Unified Framework for Name Resolution
Embodiments of the present invention provide a framework for interoperability among different name-resolutions protocols, such as DNS, mDNS, SSDP, SLP, etc. Under this unified name-resolution framework, also referred to as a Federated Extensible Resolution of Names (FERN) system, nodes that use common name-resolution schemes are grouped together as a name-resolution group (NRG). The framework also defines a protocol for intercommunication between different NRGs, and organizes the NRGs into a hierarchy.
Organizing nodes into NRGs provides several advantages, including: (a) separating nodes that use different name-resolution schemes; and (b) reflecting the natural groupings that appear in the underlying network (i.e., subnets), logical hierarchy (i.e., org charts), and users themselves (i.e., social groups). Each NRG supports a set of operations, which may be implemented in various ways. In addition, although the nodes within an NRG may run different network-level protocols, all nodes in the NRG are able to exchange messages at the application layer.
Organizing the NRGs into a naming hierarchy ensures that the system resolves names deterministically, the name requests do not traverse NRGs unnecessarily, and scalability is preserved by enforcing an upper bound on the number of other NRGs any one group must know.
In a FERN system, NRGs are also organized into a naming hierarchy, and a child NRG is a member of its parent. In the example shown in
In the example shown in
Similar to DNS, the NRGs in a FERN system are responsible for names that end in the NRG's fully qualified name. For example, an NRG named “abc” (which is the shorthand for “abc.parc.usa”) is responsible for queries ending with “abc,” such as “printer.abc.” Every node in the NRG must be able to resolve names for which the group is responsible. To facilitate these responsibilities, NRGs must provide a way for their members to: (1) register names, (2) resolve names, (3) join the NRG, and (4) leave the NRG. Unlike DNS, an NRG in a FERN system must forward queries for which it is not responsible. As previously explained, the FERN system organizes the NRGs into a naming hierarchy and allows NRGs themselves to be members of their parent NRG.
In a FERN system, each NRG is free to set its own internal policies. There are no constraints on the number of services or names an individual node may register, the nature of these services, or the number of NRGs of which a node may be a member simultaneously. It is left to individual NRGs to implement and enforce rules such as restricting group membership to certain nodes or restricting the names that a particular node may register. NRGs may choose to adopt and enforce certain naming conventions (similar to the mDNS service registry), and these conventions may even be standardized across different NRGs.
FERN treats group security the same way. NRGs in a FERN system may choose to use encryption, MAC addresses, or other out-of-bound information to authenticate, authorize, and verify their members and names. They may also decide to use name resolution to enforce other security policies, such as only allowing certain nodes to resolve the address of certain services. However, the administration and implementation of these policies are left to the individual NRG, not the entire framework.
For a node to join an NRG with the joinGroup(args) operation in the table shown in
During operation, name-request receiving module 402 is responsible for receiving name-resolution requests or queries from other nodes, which may be a node in the same NRG as node 400 or a node from a different NRG. Note that depending on the name-resolution scheme used within the NRG where node 400 resides, the name-resolution request may have different formats. Also note that in the example shown in
Local name-resolution module 404 is responsible for resolving the name request locally within the boundary of the NRG. Depending on the name-resolution scheme used within the NRG where node 400 resides, local name-resolution module 404 uses a corresponding name-resolution scheme to attempt to resolve the name request. If the local name resolution fails, parent-NRG identification module 408 is responsible for identifying the parent NRG and resolving the address of the parent. Request forwarding module 410 is responsible for forwarding the name request to the parent NRG. Once the name is resolved and sent back to node 400, cache 406 caches the resolved network address of the requested name and/or network addresses of any intermediate nodes. The cached entry can be used for any future name requests.
Caching name responses and intermediate name referrals significantly reduces latency and overall network load. It changes the system performance and may even result in different behavior. In the DNS, caching benefits stem primarily from reducing the number of round-trips a query takes. In a FERN system, benefits of caching come from “short-circuiting” the group hierarchy. For instance, in the example shown in
Caching in the FERN system leads to behavior that closely resembles a hybrid system. In the above example, the bottom groups use architectures better suited for dynamic networks. The first time a node in one of these groups attempts to resolve a name outside of its group, it must first call getParent (a function listed in the table shown in
The caching in FERN is similar to yet different from the caching in the DNS. In the DNS, caching can only occur down the tree, and caching improves performance by reducing the load on top-level name servers and the number of referrals. However, in FERN, caching can also occur up the tree. While this is a feature aimed at improving performance, it could make FERN perform much like DNS if nodes were to use the address of the NRT root to resolve names. For example, consider the case where a node “node1.subgroup1.example.usa” needs to resolve the name “node2.subgroup2.example2.uk,” and caching is enabled for any NRG in the FERN NRT. Since the root of the NRT is the closest common ancestor between the node and the name that must be resolved, the node caches the network address of the NRT root once resolution is complete. After that, anytime the same node needs to resolve a name outside of the “usa” name group, the closest-matching group will always be the NRT root, and the node will contact the root directly. To eliminate this problem, in some embodiments, the FERN system enforces a set of caching rules.
The FERN caching rules shown in
The FERN process of forwarding requests up and then down the NRT also affects the fault tolerance and resilience of the system. In DNS, if a node is unable to contact the root server, it is unable to perform any name resolution, as shown in
By forwarding queries in the manner described above, FERN reduces reliance on the top-level NRGs of the NRT and improves resilience among lower level NRGs. If a root or TLD server fails, or if an NRG is cut off from these servers due to a network partition, internal resolution is unaffected. As a result, name resolution in FERN is much more distributed. Ideally, if an active route exists between two hosts, they should be able to resolve each other's names and communicate. Conversely, if no route exists between the hosts, then name resolution is unimportant because even in the event of successful resolution, no communication can occur.
The FERN architecture ensures that some local FERN request can still be resolved even in the presence of intermediate failure points. Now consider the example shown in
FERN addresses this problem by allowing nodes to cache the network address of other nodes in their ancestor NRGs all the way up to the root of the NRT. Note that, in accordance with the FERN caching rules shown in
To reduce the risk of node failure, NRGs may also choose to replicate records across K>1 separate nodes. Choosing a proper value for K depends heavily on the underlying network. In the Internet case, the DNS itself shows that small values of K are sufficient. For example, over 80% of DNS entries can be supported by just one or two name servers. In other network scenarios, such as MANETs, K=1 might be completely acceptable if the only node bridging name requests is also the only node able to perform network address translation (in which case its failure also partitions the network). Ideally, K should be sufficiently large so that name resolution reflects network connectivity.
The FERN NRG rules and caching rules shown in
Deployment Consideration
As discussed previously, in a FERN system, internal group resolution can take many forms, including but not limited to: DNS, mDNS, SSDP, SLP, DHT, MDHT, etc. As a result, FERN can be used to bridge all existing name-resolution protocols today without the need to modify them. Supporting mDNS is trivial, and can be accomplished by simply appending “.local” to the end of a name request before sending it to an mDNS daemon. DNS integration is equally straightforward, though it comes with one caveat: given that the resolution of DNS queries starts at the root, if the DNS is used to power a FERN NRG, the NRG must be the highest group in the FERN NRT; otherwise, unnecessary request-forwarding and group traversal can occur. However, because the DNS is already well established, we believe that FERN NRGs could exist “underneath” the current DNS hierarchy, using the DNS for Internet resolution, while still supporting other networks where the DNS is not appropriate.
Another factor that may affect the system performance is the internal communication within an NRG. The best choice for internal group communication depends on both the underlying network topology and the number of nodes in the NRG. Though an NRG may specify that only a certain number of nodes may join, the number of nodes in an NRG is determined primarily by external factors, which in turn determine group communication. These external factors could be logical (the number of people in an organization), hierarchical (an organization chart), or based on the underlying network topology (e.g., nodes in a MANET).
In the case of the Internet, a connected underlying network with static addresses, the client-server architecture has been shown by the DNS to be efficient and scalable, and provides an attractive first choice. For fully connected networks with dynamic network addresses (such as an internal subnet or home network), a DHT may be a better choice for both robustness and dynamic updating.
In addition, the height of the NRT may also affect the performance of a FERN system. The current DNS hierarchy is relatively shallow, with a typical height of three or four levels, but is almost exclusively limited to naming Internet servers. A full FERN NRT would be allowed to have more levels, because part of the intent of FERN is to expand name resolution to devices in different network environments. As described above, the addition of NRGs in the NRT could be the result of several logical or organizational factors, as well as underlying network concerns (such as bridging resolution across two MANETs). It can be shown that the latency overhead of adding another logical group to the hierarchy is minimal because FERN minimizes inter-group latency by requiring groups to resolve name requests recursively and organizing nodes in a hierarchy that reflects physical proximity (i.e., assigning countries or physical regions to TLDs). Note that this ensures that requests only traverse a particular long-haul link (i.e., the Pacific Ocean) once.
In response to not finding a cached entry for the address, the NRG identifies its own parent NRG (operation 718). In some embodiments, the parent NRG can be identified by calling the getParent( ) function as shown in
Subsequently, the NRG receives a response to the name request (operation 724), caches the network address of the name, and/or network address of any intermediate nodes (operation 726), and sends the response to the originating node (operation 706).
In general, FERN provides a robust framework for name resolution and service discovery. It provides one global namespace and supports both global and local name resolution, yet does so without the previous constraints on both namespaces. By supporting different name-resolution architectures, FERN paves the way for optimization of name-resolution protocols for their corresponding networks and serves as an important stepping-stone for interoperability between heterogeneous networks, such as wireless sensor networks and MANETs, home “Internet-of-Things” networks, and the general Internet.
Computer System
The data structures and code described in this detailed description are typically stored on a computer-readable storage medium, which may be any device or medium that can store code and/or data for use by a computer system. The computer-readable storage medium includes, but is not limited to, volatile memory, non-volatile memory, magnetic and optical storage devices such as disk drives, magnetic tape, CDs (compact discs), DVDs (digital versatile discs or digital video discs), or other media capable of storing computer-readable media now known.
The methods and processes described in the detailed description section can be embodied as code and/or data, which can be stored in a computer-readable storage medium as described above. When a computer system reads and executes the code and/or data stored on the computer-readable storage medium, the computer system performs the methods and processes embodied as data structures and code and stored within the computer-readable storage medium.
Furthermore, methods and processes described herein can be included in hardware modules or apparatus. These modules or apparatus may include, but are not limited to, an application-specific integrated circuit (ASIC) chip, a field-programmable gate array (FPGA), a dedicated or shared processor that executes a particular software module or a piece of code at a particular time, and/or other programmable-logic devices now known or later developed. When the hardware modules or apparatus are activated, they perform the methods and processes included within them.
The foregoing descriptions of various embodiments have been presented only for purposes of illustration and description. They are not intended to be exhaustive or to limit the present invention to the forms disclosed. Accordingly, many modifications and variations will be apparent to practitioners skilled in the art. Additionally, the above disclosure is not intended to limit the present invention.
This invention was made with U.S. government support under NAS2-03144.TO.030.10.MD.D awarded by National Aeronautics and Space Administration (NASA) Ames Research Center. The U.S. government has certain rights in the invention.
Number | Name | Date | Kind |
---|---|---|---|
817441 | Niesz | Apr 1906 | A |
4309569 | Merkle | Jan 1982 | A |
4921898 | Lenney | May 1990 | A |
5070134 | Oyamada | Dec 1991 | A |
5110856 | Oyamada | May 1992 | A |
5506844 | Rao | Apr 1996 | A |
5629370 | Freidzon | May 1997 | A |
5870605 | Bracho | Feb 1999 | A |
6052683 | Irwin | Apr 2000 | A |
6091724 | Chandra | Jul 2000 | A |
6173364 | Zenchelsky | Jan 2001 | B1 |
6226618 | Downs | May 2001 | B1 |
6233646 | Hahm | May 2001 | B1 |
6332158 | Risley | Dec 2001 | B1 |
6366988 | Skiba | Apr 2002 | B1 |
6574377 | Cahill | Jun 2003 | B1 |
6654792 | Verma | Nov 2003 | B1 |
6667957 | Corson | Dec 2003 | B1 |
6681220 | Kaplan | Jan 2004 | B1 |
6681326 | Son | Jan 2004 | B2 |
6769066 | Botros | Jul 2004 | B1 |
6772333 | Brendel | Aug 2004 | B1 |
6862280 | Bertagna | Mar 2005 | B1 |
6901452 | Bertagna | May 2005 | B1 |
6917985 | Madruga | Jul 2005 | B2 |
6968393 | Chen | Nov 2005 | B1 |
6981029 | Menditto | Dec 2005 | B1 |
7013389 | Srivastava | Mar 2006 | B1 |
7031308 | Garcia-Luna-Aceves | Apr 2006 | B2 |
7061877 | Gummalla | Jun 2006 | B1 |
7206860 | Murakami | Apr 2007 | B2 |
7257837 | Xu | Aug 2007 | B2 |
7287275 | Moskowitz | Oct 2007 | B2 |
7315541 | Housel | Jan 2008 | B1 |
7339929 | Zelig | Mar 2008 | B2 |
7350229 | Lander | Mar 2008 | B1 |
7382787 | Barnes | Jun 2008 | B1 |
7444251 | Nikovski | Oct 2008 | B2 |
7466703 | Arunachalam | Dec 2008 | B1 |
7472422 | Agbabian | Dec 2008 | B1 |
7496668 | Hawkinson | Feb 2009 | B2 |
7509425 | Rosenberg | Mar 2009 | B1 |
7523016 | Surdulescu | Apr 2009 | B1 |
7543064 | Juncker | Jun 2009 | B2 |
7552233 | Raju | Jun 2009 | B2 |
7555482 | Korkus | Jun 2009 | B2 |
7555563 | Ott | Jun 2009 | B2 |
7567547 | Mosko | Jul 2009 | B2 |
7567946 | Andreoli | Jul 2009 | B2 |
7580971 | Gollapudi | Aug 2009 | B1 |
7623535 | Guichard | Nov 2009 | B2 |
7647507 | Feng | Jan 2010 | B1 |
7660324 | Oguchi | Feb 2010 | B2 |
7685290 | Satapati | Mar 2010 | B2 |
7698463 | Ogier | Apr 2010 | B2 |
7769887 | Bhattacharyya | Aug 2010 | B1 |
7779467 | Choi | Aug 2010 | B2 |
7801177 | Luss | Sep 2010 | B2 |
7816441 | Elizalde | Oct 2010 | B2 |
7831733 | Sultan | Nov 2010 | B2 |
7908337 | Garcia-Luna-Aceves et al. | Mar 2011 | B2 |
7924837 | Shabtay | Apr 2011 | B1 |
7953885 | Devireddy | May 2011 | B1 |
8000267 | Solis | Aug 2011 | B2 |
8010691 | Kollmansberger | Aug 2011 | B2 |
8074289 | Carpentier | Dec 2011 | B1 |
8117441 | Kurien | Feb 2012 | B2 |
8160069 | Jacobson | Apr 2012 | B2 |
8204060 | Jacobson | Jun 2012 | B2 |
8214364 | Bigus | Jul 2012 | B2 |
8224985 | Takeda | Jul 2012 | B2 |
8225057 | Zheng | Jul 2012 | B1 |
8271578 | Sheffi | Sep 2012 | B2 |
8312064 | Gauvin | Nov 2012 | B1 |
8386622 | Jacobson | Feb 2013 | B2 |
8467297 | Liu | Jun 2013 | B2 |
8553562 | Allan | Oct 2013 | B2 |
8572214 | Garcia-Luna-Aceves | Oct 2013 | B2 |
8654649 | Vasseur | Feb 2014 | B2 |
8665757 | Kling | Mar 2014 | B2 |
8667172 | Ravindran | Mar 2014 | B2 |
8688619 | Ezick | Apr 2014 | B1 |
8699350 | Kumar | Apr 2014 | B1 |
8750820 | Allan | Jun 2014 | B2 |
8761022 | Chiabaut | Jun 2014 | B2 |
8762477 | Xie | Jun 2014 | B2 |
8762570 | Qian | Jun 2014 | B2 |
8762707 | Killian | Jun 2014 | B2 |
8767627 | Ezure | Jul 2014 | B2 |
8817594 | Gero | Aug 2014 | B2 |
8826381 | Kim | Sep 2014 | B2 |
8832302 | Bradford | Sep 2014 | B1 |
8836536 | Marwah | Sep 2014 | B2 |
8862774 | Vasseur | Oct 2014 | B2 |
8903756 | Zhao | Dec 2014 | B2 |
8937865 | Kumar | Jan 2015 | B1 |
9071498 | Beser | Jun 2015 | B2 |
9112895 | Lin | Aug 2015 | B1 |
20020010795 | Brown | Jan 2002 | A1 |
20020048269 | Hong | Apr 2002 | A1 |
20020054593 | Morohashi | May 2002 | A1 |
20020077988 | Sasaki | Jun 2002 | A1 |
20020078066 | Robinson | Jun 2002 | A1 |
20020138551 | Erickson | Sep 2002 | A1 |
20020176404 | Girard | Nov 2002 | A1 |
20020188605 | Adya | Dec 2002 | A1 |
20020199014 | Yang | Dec 2002 | A1 |
20030046437 | Eytchison | Mar 2003 | A1 |
20030048793 | Pochon | Mar 2003 | A1 |
20030051100 | Patel | Mar 2003 | A1 |
20030074472 | Lucco | Apr 2003 | A1 |
20030097447 | Johnston | May 2003 | A1 |
20030140257 | Peterka | Jul 2003 | A1 |
20040024879 | Dingman | Feb 2004 | A1 |
20040030602 | Rosenquist | Feb 2004 | A1 |
20040073715 | Folkes | Apr 2004 | A1 |
20040139230 | Kim | Jul 2004 | A1 |
20040221047 | Grover | Nov 2004 | A1 |
20040225627 | Botros | Nov 2004 | A1 |
20040252683 | Kennedy | Dec 2004 | A1 |
20050003832 | Osafune | Jan 2005 | A1 |
20050028156 | Hammond | Feb 2005 | A1 |
20050043060 | Brandenberg | Feb 2005 | A1 |
20050050211 | Kaul | Mar 2005 | A1 |
20050074001 | Mattes | Apr 2005 | A1 |
20050149508 | Deshpande | Jul 2005 | A1 |
20050159823 | Hayes | Jul 2005 | A1 |
20050198351 | Nog | Sep 2005 | A1 |
20050249196 | Ansari | Nov 2005 | A1 |
20050259637 | Chu | Nov 2005 | A1 |
20050262217 | Nonaka | Nov 2005 | A1 |
20050289222 | Sahim | Dec 2005 | A1 |
20060010249 | Sabesan | Jan 2006 | A1 |
20060029102 | Abe | Feb 2006 | A1 |
20060039379 | Abe | Feb 2006 | A1 |
20060051055 | Ohkawa | Mar 2006 | A1 |
20060072523 | Richardson | Apr 2006 | A1 |
20060099973 | Nair | May 2006 | A1 |
20060129514 | Watanabe | Jun 2006 | A1 |
20060133343 | Huang | Jun 2006 | A1 |
20060173831 | Basso | Aug 2006 | A1 |
20060193295 | White | Aug 2006 | A1 |
20060206445 | Andreoli | Sep 2006 | A1 |
20060215684 | Capone | Sep 2006 | A1 |
20060223504 | Ishak | Oct 2006 | A1 |
20060256767 | Suzuki | Nov 2006 | A1 |
20060268792 | Belcea | Nov 2006 | A1 |
20070019619 | Foster | Jan 2007 | A1 |
20070073888 | Madhok | Mar 2007 | A1 |
20070094265 | Korkus | Apr 2007 | A1 |
20070112880 | Yang | May 2007 | A1 |
20070124412 | Narayanaswami | May 2007 | A1 |
20070127457 | Mirtorabi | Jun 2007 | A1 |
20070160062 | Morishita | Jul 2007 | A1 |
20070162394 | Zager | Jul 2007 | A1 |
20070189284 | Kecskemeti | Aug 2007 | A1 |
20070195765 | Heissenbuttel | Aug 2007 | A1 |
20070204011 | Shaver | Aug 2007 | A1 |
20070209067 | Fogel | Sep 2007 | A1 |
20070239892 | Ott | Oct 2007 | A1 |
20070240207 | Belakhdar | Oct 2007 | A1 |
20070245034 | Retana | Oct 2007 | A1 |
20070253418 | Shiri | Nov 2007 | A1 |
20070255699 | Sreenivas | Nov 2007 | A1 |
20070255781 | Li | Nov 2007 | A1 |
20070274504 | Maes | Nov 2007 | A1 |
20070276907 | Maes | Nov 2007 | A1 |
20070294187 | Scherrer | Dec 2007 | A1 |
20080005056 | Stelzig | Jan 2008 | A1 |
20080010366 | Duggan | Jan 2008 | A1 |
20080037420 | Tang | Feb 2008 | A1 |
20080043989 | Furutono | Feb 2008 | A1 |
20080046340 | Brown | Feb 2008 | A1 |
20080059631 | Bergstrom | Mar 2008 | A1 |
20080080440 | Yarvis | Apr 2008 | A1 |
20080101357 | Iovanna | May 2008 | A1 |
20080107034 | Jetcheva | May 2008 | A1 |
20080123862 | Rowley | May 2008 | A1 |
20080133583 | Artan | Jun 2008 | A1 |
20080133755 | Pollack | Jun 2008 | A1 |
20080151755 | Nishioka | Jun 2008 | A1 |
20080159271 | Kutt | Jul 2008 | A1 |
20080186901 | Itagaki | Aug 2008 | A1 |
20080200153 | Fitzpatrick | Aug 2008 | A1 |
20080215669 | Gaddy | Sep 2008 | A1 |
20080216086 | Tanaka | Sep 2008 | A1 |
20080243992 | Jardetzky | Oct 2008 | A1 |
20080256359 | Kahn | Oct 2008 | A1 |
20080270618 | Rosenberg | Oct 2008 | A1 |
20080271143 | Stephens | Oct 2008 | A1 |
20080287142 | Keighran | Nov 2008 | A1 |
20080288580 | Wang | Nov 2008 | A1 |
20080320148 | Capuozzo | Dec 2008 | A1 |
20090006659 | Collins | Jan 2009 | A1 |
20090013324 | Gobara | Jan 2009 | A1 |
20090022154 | Kiribe | Jan 2009 | A1 |
20090024641 | Quigley | Jan 2009 | A1 |
20090030978 | Johnson | Jan 2009 | A1 |
20090037763 | Adhya | Feb 2009 | A1 |
20090052660 | Chen | Feb 2009 | A1 |
20090067429 | Nagai | Mar 2009 | A1 |
20090077184 | Brewer | Mar 2009 | A1 |
20090092043 | Lapuh | Apr 2009 | A1 |
20090097631 | Gisby | Apr 2009 | A1 |
20090103515 | Pointer | Apr 2009 | A1 |
20090113068 | Fujihira | Apr 2009 | A1 |
20090144300 | Chatley | Jun 2009 | A1 |
20090157887 | Froment | Jun 2009 | A1 |
20090185745 | Momosaki | Jul 2009 | A1 |
20090193101 | Munetsugu | Jul 2009 | A1 |
20090222344 | Greene | Sep 2009 | A1 |
20090228593 | Takeda | Sep 2009 | A1 |
20090254572 | Redlich | Oct 2009 | A1 |
20090268905 | Matsushima | Oct 2009 | A1 |
20090285209 | Stewart | Nov 2009 | A1 |
20090287835 | Jacobson | Nov 2009 | A1 |
20090288163 | Jacobson | Nov 2009 | A1 |
20090292743 | Bigus | Nov 2009 | A1 |
20090293121 | Bigus | Nov 2009 | A1 |
20090300079 | Shitomi | Dec 2009 | A1 |
20090300407 | Kamath | Dec 2009 | A1 |
20090307333 | Welingkar | Dec 2009 | A1 |
20090323632 | Nix | Dec 2009 | A1 |
20100005061 | Basco | Jan 2010 | A1 |
20100027539 | Beverly | Feb 2010 | A1 |
20100046546 | Ram | Feb 2010 | A1 |
20100057929 | Merat | Mar 2010 | A1 |
20100088370 | Wu | Apr 2010 | A1 |
20100094767 | Miltonberger | Apr 2010 | A1 |
20100098093 | Ejzak | Apr 2010 | A1 |
20100100465 | Cooke | Apr 2010 | A1 |
20100103870 | Garcia-Luna-Aceves | Apr 2010 | A1 |
20100124191 | Vos | May 2010 | A1 |
20100125911 | Bhaskaran | May 2010 | A1 |
20100131660 | Dec | May 2010 | A1 |
20100150155 | Napierala | Jun 2010 | A1 |
20100165976 | Khan | Jul 2010 | A1 |
20100169478 | Saha | Jul 2010 | A1 |
20100169503 | Kollmansberger | Jul 2010 | A1 |
20100180332 | Ben-Yochanan | Jul 2010 | A1 |
20100182995 | Hwang | Jul 2010 | A1 |
20100185753 | Liu | Jul 2010 | A1 |
20100195653 | Jacobson | Aug 2010 | A1 |
20100195654 | Jacobson | Aug 2010 | A1 |
20100195655 | Jacobson | Aug 2010 | A1 |
20100217874 | Anantharaman | Aug 2010 | A1 |
20100232402 | Przybysz | Sep 2010 | A1 |
20100232439 | Dham | Sep 2010 | A1 |
20100235516 | Nakamura | Sep 2010 | A1 |
20100246549 | Zhang | Sep 2010 | A1 |
20100250497 | Redlich | Sep 2010 | A1 |
20100250939 | Adams | Sep 2010 | A1 |
20100268782 | Zombek | Oct 2010 | A1 |
20100272107 | Papp | Oct 2010 | A1 |
20100284309 | Allan | Nov 2010 | A1 |
20100284404 | Gopinath | Nov 2010 | A1 |
20100293293 | Beser | Nov 2010 | A1 |
20100322249 | Thathapudi | Dec 2010 | A1 |
20110013637 | Xue | Jan 2011 | A1 |
20110022812 | vanderLinden | Jan 2011 | A1 |
20110055392 | Shen | Mar 2011 | A1 |
20110055921 | Narayanaswamy | Mar 2011 | A1 |
20110090908 | Jacobson | Apr 2011 | A1 |
20110106755 | Hao | May 2011 | A1 |
20110145597 | Yamaguchi | Jun 2011 | A1 |
20110145858 | Philpott | Jun 2011 | A1 |
20110153840 | Narayana | Jun 2011 | A1 |
20110161408 | Kim | Jun 2011 | A1 |
20110202609 | Chaturvedi | Aug 2011 | A1 |
20110231578 | Nagappan | Sep 2011 | A1 |
20110239256 | Gholmieh | Sep 2011 | A1 |
20110258049 | Ramer | Oct 2011 | A1 |
20110264824 | Venkata Subramanian | Oct 2011 | A1 |
20110265174 | Thornton | Oct 2011 | A1 |
20110271007 | Wang et al. | Nov 2011 | A1 |
20110286457 | Ee | Nov 2011 | A1 |
20110286459 | Rembarz | Nov 2011 | A1 |
20110295783 | Zhao | Dec 2011 | A1 |
20110299454 | Krishnaswamy | Dec 2011 | A1 |
20120011170 | Elad | Jan 2012 | A1 |
20120011551 | Levy | Jan 2012 | A1 |
20120036180 | Thornton | Feb 2012 | A1 |
20120047361 | Erdmann | Feb 2012 | A1 |
20120066727 | Nozoe | Mar 2012 | A1 |
20120106339 | Mishra | May 2012 | A1 |
20120114313 | Phillips | May 2012 | A1 |
20120120803 | Farkas | May 2012 | A1 |
20120136676 | Goodall | May 2012 | A1 |
20120136936 | Quintuna | May 2012 | A1 |
20120136945 | Lee | May 2012 | A1 |
20120137367 | Dupont | May 2012 | A1 |
20120141093 | Yamaguchi | Jun 2012 | A1 |
20120155464 | Kim | Jun 2012 | A1 |
20120158973 | Jacobson | Jun 2012 | A1 |
20120163373 | Lo | Jun 2012 | A1 |
20120179653 | Araki | Jul 2012 | A1 |
20120197690 | Agulnek | Aug 2012 | A1 |
20120198048 | Ioffe | Aug 2012 | A1 |
20120221150 | Arensmeier | Aug 2012 | A1 |
20120224487 | Hui | Sep 2012 | A1 |
20120257500 | Lynch | Oct 2012 | A1 |
20120284791 | Miller | Nov 2012 | A1 |
20120290669 | Parks | Nov 2012 | A1 |
20120290919 | Melnyk | Nov 2012 | A1 |
20120291102 | Cohen | Nov 2012 | A1 |
20120314580 | Hong | Dec 2012 | A1 |
20120317307 | Ravindran | Dec 2012 | A1 |
20120331112 | Chatani | Dec 2012 | A1 |
20130041982 | Shi | Feb 2013 | A1 |
20130051392 | Filsfils | Feb 2013 | A1 |
20130060962 | Wang | Mar 2013 | A1 |
20130073552 | Rangwala | Mar 2013 | A1 |
20130074155 | Huh | Mar 2013 | A1 |
20130091539 | Khurana | Apr 2013 | A1 |
20130110987 | Kim | May 2013 | A1 |
20130111063 | Lee | May 2013 | A1 |
20130151584 | Westphal | Jun 2013 | A1 |
20130163426 | Beliveau | Jun 2013 | A1 |
20130166668 | Byun | Jun 2013 | A1 |
20130173822 | Hong | Jul 2013 | A1 |
20130182568 | Lee | Jul 2013 | A1 |
20130185406 | Choi | Jul 2013 | A1 |
20130197698 | Shah | Aug 2013 | A1 |
20130198119 | Eberhardt, III | Aug 2013 | A1 |
20130219038 | Lee | Aug 2013 | A1 |
20130219081 | Qian | Aug 2013 | A1 |
20130219478 | Mahamuni | Aug 2013 | A1 |
20130223237 | Hui | Aug 2013 | A1 |
20130227166 | Ravindran | Aug 2013 | A1 |
20130242996 | Varvello | Sep 2013 | A1 |
20130250809 | Hui | Sep 2013 | A1 |
20130282854 | Jang | Oct 2013 | A1 |
20130282860 | Zhang | Oct 2013 | A1 |
20130282920 | Zhang | Oct 2013 | A1 |
20130304937 | Lee | Nov 2013 | A1 |
20130329696 | Xu | Dec 2013 | A1 |
20130336323 | Srinivasan | Dec 2013 | A1 |
20130343408 | Cook | Dec 2013 | A1 |
20140003232 | Guichard | Jan 2014 | A1 |
20140006565 | Muscariello | Jan 2014 | A1 |
20140029445 | Hui | Jan 2014 | A1 |
20140032714 | Liu | Jan 2014 | A1 |
20140040505 | Barton | Feb 2014 | A1 |
20140074730 | Arensmeier | Mar 2014 | A1 |
20140075567 | Raleigh | Mar 2014 | A1 |
20140082135 | Jung | Mar 2014 | A1 |
20140089454 | Jeon | Mar 2014 | A1 |
20140096249 | Dupont | Apr 2014 | A1 |
20140129736 | Yu | May 2014 | A1 |
20140136814 | Stark | May 2014 | A1 |
20140140348 | Perlman | May 2014 | A1 |
20140143370 | Vilenski et al. | May 2014 | A1 |
20140146819 | Bae | May 2014 | A1 |
20140149733 | Kim | May 2014 | A1 |
20140156396 | deKozan | Jun 2014 | A1 |
20140165207 | Engel | Jun 2014 | A1 |
20140172783 | Suzuki | Jun 2014 | A1 |
20140172981 | Kim | Jun 2014 | A1 |
20140173034 | Liu | Jun 2014 | A1 |
20140192717 | Liu | Jul 2014 | A1 |
20140195328 | Ferens | Jul 2014 | A1 |
20140195666 | Dumitriu | Jul 2014 | A1 |
20140233575 | Xie | Aug 2014 | A1 |
20140237085 | Park | Aug 2014 | A1 |
20140269703 | Sundaresan | Sep 2014 | A1 |
20140280823 | Varvello | Sep 2014 | A1 |
20140281489 | Peterka | Sep 2014 | A1 |
20140281505 | Zhang | Sep 2014 | A1 |
20140282816 | Xie | Sep 2014 | A1 |
20140289325 | Solis | Sep 2014 | A1 |
20140289790 | Wilson | Sep 2014 | A1 |
20140314093 | You | Oct 2014 | A1 |
20140365550 | Jang | Dec 2014 | A1 |
20150006896 | Franck | Jan 2015 | A1 |
20150018770 | Baran | Jan 2015 | A1 |
20150032892 | Narayanan | Jan 2015 | A1 |
20150063802 | Bahadur | Mar 2015 | A1 |
20150095481 | Ohnishi | Apr 2015 | A1 |
20150095514 | Yu | Apr 2015 | A1 |
20150188770 | Naiksatam | Jul 2015 | A1 |
Number | Date | Country |
---|---|---|
1720277 | Jun 1967 | DE |
19620817 | Nov 1997 | DE |
0295727 | Dec 1988 | EP |
0757065 | Jul 1996 | EP |
1077422 | Feb 2001 | EP |
1384729 | Jan 2004 | EP |
2124415 | Nov 2009 | EP |
2214357 | Aug 2010 | EP |
03005288 | Jan 2003 | WO |
03042254 | May 2003 | WO |
03049369 | Jun 2003 | WO |
03091297 | Nov 2003 | WO |
2007113180 | Oct 2007 | WO |
2007144388 | Dec 2007 | WO |
2011049890 | Apr 2011 | WO |
Entry |
---|
Yusuke DOI, DNS meets DHT: Treating Massive ID Resolution Using DNS Over DHT, Jan. 31-Feb. 4, 2005. |
Doi “DNS meet DHT: Treating Massive ID Resolution using DNS Over DHT”, Proceedings of the 2005 Symposium on Applications and the Internet (SAINT'05). |
Jacobson, Van et al., “Content-Centric Networking, Whitepaper Describing Future Assurable Global Networks”, Palo Alto Research Center, Inc., Jan. 30, 2007, pp. 1-9. |
Koponen, Teemu et al., “A Data-Oriented (and Beyond) Network Architecture”, SIGCOMM '07, Aug. 27-31, 2007, Kyoto, Japan, XP-002579021, p. 181-192. |
Ao-Jan Su, David R. Choffnes, Aleksandar Kuzmanovic, and Fabian E. Bustamante. Drafting Behind Akamai: Inferring Network Conditions Based on CDN Redirections. IEEE/ACM Transactions on Networking {Feb. 2009). |
“PBC Library-Pairing-Based Cryptography-About,” http://crypto.stanford.edu/pbc. downloaded Apr. 27, 2015. |
C. Gentry and A. Silverberg. Hierarchical ID-Based Cryptography. Advances in Cryptology—ASIACRYPT 2002. Springer Berlin Heidelberg (2002). |
Boneh et al., “Collusion Resistant Broadcast Encryption With Short Ciphertexts and Private Keys”, 2005. |
D. Boneh and M. Franklin. Identity-Based Encryption from the Weil Pairing. Advances in Cryptology—CRYPTO 2001, vol. 2139, Springer Berlin Heidelberg (2001). |
Anteniese et al., “Improved Proxy Re-Encryption Schemes with Applications to Secure Distributed Storage”, 2006. |
Xiong et al., “CloudSeal: End-to-End Content Protection in Cloud-based Storage and Delivery Services”, 2012. |
J. Bethencourt, A, Sahai , and B. Waters, ‘Ciphertext-policy attribute-based encryption,’ in Proc. IEEE Security & Privacy 2007, Berkeley, CA, USA, May 2007, pp. 321-334. |
J. Lotspiech, S. Nusser, and F. Pestoni. Anonymous Trust: Digit. |
J. Shao and Z. Cao. CCA-Secure Proxy Re-Encryption without Pairings. Public Key Cryptography. Springer Lecture Notes in Computer ScienceVolume 5443 (2009). |
Gopal et al. “Integrating content-based Mechanisms with hierarchical File systems”, Feb 1999, University of Arizona, 15 pages. |
R. H. Deng, J. Weng, S. Liu, and K. Chen. Chosen-Ciphertext Secure Proxy Re-Encryption without Pairings. CANS. Spring Lecture Notes in Computer Science vol. 5339 (2008). |
RTMP (2009). Available online at http://wwwimages.adobe.com/www.adobe.com/content/dam/Adobe/en/devnet/rtmp/ pdf/rtmp specification 1.0.pdf. |
S. Chow, J. Weng, Y. Yang, and R. Deng. Efficient Unidirectional Proxy Re-Encryption. Progress in Cryptology—AFRICACRYPT 2010. Springer Berlin Heidelberg (2010). |
S. Kamara and K. Lauter. Cryptographic Cloud Storage. Financial Cryptography and Data Security. Springer Berlin Heidelberg (2010). |
Sandvine, Global Internet Phenomena Report—Spring 2012. Located online at http://www.sandvine.com/downloads/ documents/Phenomenal H 2012/Sandvine Global Internet Phenomena Report 1H 2012.pdf. |
The Despotify Project (2012). Available online at http://despotify.sourceforge.net/. |
V. K. Adhikari, S. Jain, Y. Chen, and Z.-L. Zhang. Vivisecting Youtube:An Active Measurement Study. In INFOCOM12 Mini-conference (2012). |
Vijay Kumar Adhikari, Yang Guo, Fang Hao, Matteo Varvello, Volker Hilt, Moritz Steiner, and Zhi-Li Zhang. Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery. In the Proceedings of IEEE INFOCOM 2012 (2012). |
Jacobson, Van et al. ‘VoCCN: Voice Over Content-Centric Networks.’ Dec. 1, 2009. ACM ReArch'09. |
Rosenberg, J. “Interactive Connectivity Establishment (ICE): A Protocol for Network Address Translator (NAT) Traversal for Offer/Answer Protocols”, Apr. 2010, pp. 1-117. |
Shih, Eugene et al., ‘Wake on Wireless: An Event Driven Energy Saving Strategy for Battery Operated Devices’, Sep. 23, 2002, pp. 160-171. |
Fall, K. et al., “DTN: an architectural retrospective”, Selected areas in communications, IEEE Journal on, vol. 28, No. 5, Jun. 1, 2008, pp. 828-835. |
Gritter, M. et al., ‘An Architecture for content routing support in the Internet’, Proceedings of 3rd Usenix Symposium on Internet Technologies and Systems, 2001, pp. 37-48. |
“CCNx,” http://ccnx.org/. downloaded Mar. 11, 2015. |
“Content Delivery Network”, Wikipedia, Dec. 10, 2011, http://en.wikipedia.org/w/index.php?title=Content_delivery_network&oldid=465077460. |
“Digital Signature” archived on Aug. 31, 2009 at http://web.archive.org/web/20090831170721/http://en.wikipedia.org/wiki/Digital_signature. |
“Introducing JSON,” http://www.json.org/. downloaded Mar. 11, 2015. |
“Microsoft PlayReady,” http://www.microsoft.com/playready/.downloaded Mar. 11, 2015. |
“Pursuing a pub/sub internet (PURSUIT),” http://www.fp7-pursuit.ew/PursuitWeb/. downloaded Mar. 11, 2015. |
“The FP7 4WARD project,” http://www.4ward-project.eu/. downloaded Mar. 11, 2015. |
A. Broder and A. Karlin, “Multilevel Adaptive Hashing”, Jan. 1990, pp. 43-53. |
Detti, Andrea, et al. “CONET: a content centric inter-networking architecture.” Proceedings of the ACM SIGCOMM workshop on Information-centric networking. ACM, 2011. |
A. Wolman, M. Voelker, N. Sharma N. Cardwell, A. Karlin, and H.M. Levy, “On the scale and performance of cooperative web proxy caching,” ACM SIGHOPS Operating Systems Review, vol. 33, No. 5, pp. 16-31, Dec. 1999. |
Afanasyev, Alexander, et al. “Interest flooding attack and countermeasures in Named Data Networking.” IFIP Networking Conference, 2013. IEEE, 2013. |
B. Ahlgren et al., ‘A Survey of Information-centric Networking’ IEEE Commun. Magazine, Jul. 2012, pp. 26-36. |
Bari, MdFaizul, et al. ‘A survey of naming and routing in information-centric networks.’ Communications Magazine, IEEE 50.12 (2012): 44-53. |
Baugher, Mark et al., “Self-Verifying Names for Read-Only Named Data”, 2012 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Mar. 2012, pp. 274-279. |
Brambley, Michael, A novel, low-cost, reduced-sensor approach for providing smart remote monitoring and diagnostics for packaged air conditioners and heat pumps. Pacific Northwest National Laboratory, 2009. |
C.A. Wood and E. Uzun, “Flexible end-to-end content security in CCN,” in Proc. IEEE CCNC 2014, Las Vegas, CA, USA, Jan. 2014. |
Carzaniga, Antonio, Matthew J. Rutherford, and Alexander L. Wolf. ‘A routing scheme for content-based networking.’ INFOCOM 2004. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies. vol. 2. IEEE, 2004. |
Cho, Jin-Hee, Ananthram Swami, and Ray Chen. “A survey on trust management for mobile ad hoc networks.” Communications Surveys & Tutorials, IEEE 13.4 (2011): 562-583. |
Compagno, Alberto, et al. “Poseidon: Mitigating interest flooding DDoS attacks in named data networking.” Local Computer Networks (LCN), 2013 IEEE 38th Conference on. IEEE, 2013. |
Conner, William, et al. “A trust management framework for service-oriented environments.” Proceedings of the 18th international conference on World wide web. ACM, 2009. |
Content Centric Networking Project (CCN) [online], http://ccnx.org/releases/latest/doc/technical/, Downloaded Mar. 9, 2015. |
Content Mediator Architecture for Content-aware Networks (COMET) Project [online], http://www.comet-project.org/, Downloaded Mar. 9, 2015. |
D.K. Smetters, P. Golle, and J.D. Thornton, “CCNx access control specifications,” PARC, Tech. Rep., Jul. 2010. |
Dabirmoghaddam, Ali, Maziar Mirzazad Barijough, and J. J. Garcia-Luna-Aceves. ‘Understanding optimal caching and opportunistic caching at the edge of information-centric networks.’ Proceedings of the 1st international conference on Information-centric networking. ACM, 2014. |
Detti et al., “Supporting the Web with an information centric network that routes by name”, Aug. 2012, Computer Networks 56, pp. 3705-3702. |
Dijkstra, Edsger W., and Carel S. Scholten. ‘Termination detection for diffusing computations.’ Information Processing Letters 11.1 (1980): 1-4. |
Dijkstra, Edsger W., Wim HJ Feijen, and A_J M. Van Gasteren. “Derivation of a termination detection algorithm for distributed computations.” Control Flow and Data Flow: concepts of distributed programming. Springer Berlin Heidelberg, 1986. 507-512. |
E. Rescorla and N. Modadugu, “Datagram transport layer security,” IETF RFC 4347, Apr. 2006. |
E.W. Dijkstra, W. Feijen, and A.J.M. Van Gasteren, “Derivation of a Termination Detection Algorithm for Distributed Computations,” Information Processing Letter, vol. 16, No. 5, 1983. |
Fayazbakhsh, S. K., Lin, Y., Tootoonchian, A., Ghodsi, A., Koponen, T., Maggs, B., & Shenker, S. {Aug. 2013). Less pain, most of the gain: Incrementally deployable ICN. In ACM SIGCOMM Computer Communication Review (vol. 43, No. 4, pp. 147-158). ACM. |
G. Tyson, S. Kaune, S. Miles, Y. El-Khatib, A. Mauthe, and A. Taweel, “A trace-driven analysis of caching in content-centric networks,” in Proc. IEEE ICCCN 2012, Munich, Germany, Jul.-Aug. 2012, pp. 1-7. |
G. Wang, Q. Liu, and J. Wu, “Hierarchical attribute-based encryption for fine-grained access control in cloud storage services,” in Proc. ACM CCS 2010, Chicago, IL, USA, Oct. 2010, pp. 735-737. |
G. Xylomenos et al., “A Survey of Information-centric Networking Research,” IEEE Communication Surveys and Tutorials, Jul. 2013. |
Garcia, Humberto E., Wen-Chiao Lin, and Semyon M. Meerkov. “A resilient condition assessment monitoring system.” Resilient Control Systems (ISRCS), 2012 5th International Symposium on. IEEE, 2012. |
Garcia-Luna-Aceves, Jose J. ‘A unified approach to loop-free routing using distance vectors or link states.’ ACM SIGCOMM Computer Communication Review. vol. 19. No. 4. ACM, 1989. |
Garcia-Luna-Aceves, Jose J. ‘Name-Based Content Routing in Information Centric Networks Using Distance Information’ Proc ACM ICN 2014, Sep. 2014. |
Ghali, Cesar, GeneTsudik, and Ersin Uzun. “Needle in a Haystack: Mitigating Content Poisoning in Named-Data Networking.” Proceedings of NDSS Workshop on Security of Emerging Networking Technologies (SENT). 2014. |
Ghodsi, Ali, et al. “Information-centric networking: seeing the forest for the trees.” Proceedings of the 10th ACM Workshop on Hot Topics in Networks. ACM, 2011. |
Ghodsi, Ali, et al. “Naming in content-oriented architectures.” Proceedings of the ACM SIGCOMM workshop on Information-centric networking. ACM, 2011. |
Gupta, Anjali, Barbara Liskov, and Rodrigo Rodrigues. “Efficient Routing for Peer-to-Peer Overlays.” NSDI. vol. 4. 2004. |
Heckerman, David, John S. Breese, and Koos Rommelse. “Decision-Theoretic Troubleshooting.” Communications of the ACM. 1995. |
Heinemeier, Kristin, et al. “Uncertainties in Achieving Energy Savings from HVAC Maintenance Measures in the Field.” ASHRAE Transactions 118.Part 2 {2012). |
Herlich, Matthias et al., “Optimizing Energy Efficiency for Bulk Transfer Networks”, Apr. 13, 2010, pp. 1-3, retrieved for the Internet: URL:http://www.cs.uni-paderborn.de/fileadmin/informationik/ag-karl/publications/miscellaneous/optimizing.pdf (retrieved on Mar. 9, 2012). |
Hoque et al., ‘NLSR: Named-data Link State Routing Protocol’, Aug. 12, 2013, ICN 2013, pp. 15-20. |
https://code.google.com/p/ccnx-trace/. |
I. Psaras, R.G. Clegg, R. Landa, W.K. Chai, and G. Pavlou, “Modelling and evaluation of CCN-caching trees,” in Proc. IFIP Networking 2011, Valencia, Spain, May 2011, pp. 78-91. |
Intanagonwiwat, Chalermek, Ramesh Govindan, and Deborah Estrin. ‘Directed diffusion: a scalable and robust communication paradigm for sensor networks.’ Proceedings of the 6th annual international conference on Mobile computing and networking. ACM, 2000. |
J. Aumasson and D. Bernstein, “SipHash: a fast short-input PRF”, Sep. 18, 2012. |
J. Hur, “Improving security and efficiency in attribute-based data sharing,” IEEE Trans. Knowledge Data Eng., vol. 25, No. 10, pp. 2271-2282, Oct. 2013. |
V. Jacobson et al., ‘Networking Named Content,’ Proc. IEEE CoNEXT '09, Dec. 2009. |
Jacobson et al., “Custodian-Based Information Sharing,” Jul. 2012, IEEE Communications Magazine: vol. 50 Issue 7 (p. 3843). |
Ji, Kun, et al. “Prognostics enabled resilient control for model-based building automation systems.” Proceedings of the 12th Conference of International Building Performance Simulation Association. 2011. |
K. Liang, L. Fang, W. Susilo, and D.S. Wong, “A Ciphertext-policy attribute-based proxy re-encryption with chosen-ciphertext security,” in Proc. INCoS 2013, Xian, China, Sep. 2013, pp. 552-559. |
Katipamula, Srinivas, and Michael R. Brambley. “Review article: methods for fault detection, diagnostics, and prognostics for building systemsa review, Part I.” HVAC&R Research 11.1 (2005): 3-25. |
Katipamula, Srinivas, and Michael R. Brambley. “Review article: methods for fault detection, diagnostics, and prognostics for building systemsa review, Part II.” HVAC&R Research 11.2 (2005): 169-187. |
L. Wang et al., ‘OSPFN: An OSPF Based Routing Protocol for Named Data Networking,’ Technical Report NDN-0003, 2012. |
L. Zhou, V. Varadharajan, and M. Hitchens, “Achieving secure role-based access control on encrypted data in cloud storage,” IEEE Trans. Inf. Forensics Security, vol. 8, No. 12, pp. 1947-1960, Dec. 2013. |
Li, Wenjia, Anupam Joshi, and Tim Finin. “Coping with node misbehaviors in ad hoc networks: A multi-dimensional trust management approach.” Mobile Data Management (MDM), 2010 Eleventh International Conference on. IEEE, 2010. |
Lopez, Javier, et al. “Trust management systems for wireless sensor networks: Best practices.” Computer Communications 33.9 (2010): 1086-1093. |
M. Green and G. Ateniese, “Identity-based proxy re-encryption,” in Proc. ACNS 2007, Zhuhai, China, Jun. 2007, pp. 288-306. |
M. Ion, J. Zhang, and E.M. Schooler, “Toward content-centric privacy in ICN: Attribute-based encryption and routing,” in Proc. ACM SIGCOMM ICN 2013, Hong Kong, China, Aug. 2013, pp. 39-40. |
M. Naor and B. Pinkas “Efficient trace and revoke schemes,” in Proc. FC 2000, Anguilla, British West Indies, Feb. 2000, pp. 1-20. |
M. Nystrom, S. Parkinson, A. Rusch, and M. Scott, “PKCS#12: Personal information exchange syntax v. 1.1,” IETF RFC 7292, K. Moriarty, Ed., Jul. 2014. |
M. Parsa and J.J. Garcia-Luna-Aceves, “A Protocol for Scalable Loop-free Multicast Routing.” IEEE JSAC, Apr. 1997. |
M. Walfish, H. Balakrishnan, and S. Shenker, “Untangling the web from DNS,” in Proc. USENIX NSDI 2004, Oct. 2010, pp. 735-737. |
Mahadevan, Priya, et al. “Orbis: rescaling degree correlations to generate annotated internet topologies.” ACM SIGCOMM Computer Communication Review. vol. 37. No. 4. ACM, 2007. |
Mahadevan, Priya, et al. “Systematic topology analysis and generation using degree correlations.” ACM SIGCOMM Computer Communication Review. vol. 36. No. 4. ACM, 2006. |
Matocha, Jeff, and Tracy Camp. ‘A taxonomy of distributed termination detection algorithms.’ Journal of Systems and Software 43.3 (1998): 207-221. |
Matteo Varvello et al., “Caesar: A Content Router for High Speed Forwarding”, ICN 2012, Second Edition on Information-Centric Networking, New York, Aug. 2012. |
McWilliams, Jennifer A., and Iain S. Walker. “Home Energy Article: A Systems Approach to Retrofitting Residential HVAC Systems.” Lawrence Berkeley National Laboratory (2005). |
Merindol et al., “An efficient algorithm to enable path diversity in link state routing networks”, Jan. 10, Computer Networks 55 (2011), pp. 1132-1140. |
Mobility First Project [online], http://mobilityfirst.winlab.rutgers.edu/, Downloaded Mar. 9, 2015. |
Narasimhan, Sriram, and Lee Brownston. “HyDE—A General Framework for Stochastic and Hybrid Modelbased Diagnosis.” Proc. DX 7 (2007): 162-169. |
NDN Project [online], http://www.named-data.net/, Downloaded Mar. 9, 2015. |
Omar, Mawloud, Yacine Challal, and Abdelmadjid Bouabdallah. “Certification-based trust models in mobile ad hoc networks: A survey and taxonomy.” Journal of Network and Computer Applications 35.1 (2012): 268-286. |
P. Mahadevan, E.Uzun, S. Sevilla, and J. Garcia-Luna-Aceves, “CCN-krs: A key resolution service for ccn,” in Proceedings of the 1st International Conference on Information-centric Networking, Ser. INC 14 New York, NY, USA: ACM, 2014, pp. 97-106. [Online]. Available: http://doi.acm.org/10.1145/2660129.2660154. |
S. Deering, “Multicast Routing in Internetworks and Extended LANs,” Proc. ACM SIGCOMM '88, Aug. 1988. |
S. Deering et al., “The PIM architecture for wide-area multicast routing,” IEEE/ACM Trans, on Networking, vol. 4, No. 2, Apr. 1996. |
S. Jahid, P. Mittal, and N. Borisov, “EASiER: Encryption-based access control in social network with efficient revocation,” in Proc. ACM ASIACCS 2011, Hong Kong, China, Mar. 2011, pp. 411-415. |
S. Kamara and K. Lauter, “Cryptographic cloud storage,” in Proc. FC 2010, Tenerife, Canary Islands, Spain, Jan. 2010, pp. 136-149. |
S. Kumar et al. “Peacock Hashing: Deterministic and Updatable Hashing for High Performance Networking,” 2008, pp. 556-564. |
S. Misra, R. Tourani, and N.E. Majd, “Secure content delivery in information-centric networks: Design, implementation, and analyses,” in Proc. ACM SIGCOMM ICN 2013, Hong Kong, China, Aug. 2013, pp. 73-78. |
S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving secure, scalable, and fine-grained data access control in cloud computing,” in Proc. IEEE INFOCOM 2010, San Diego, CA, USA, Mar. 2010, pp. 1-9. |
S.J. Lee, M. Gerla, and C. Chiang, “On-demand Multicast Routing Protocol in Multihop Wireless Mobile Networks,” Mobile Networks and Applications, vol. 7, No. 6, 2002. |
Scalable and Adaptive Internet Solutions (SAIL) Project [online], http://sail-project.eu/ Downloaded Mar. 9, 2015. |
Schein, Jeffrey, and Steven T. Bushby. A Simulation Study of a Hierarchical, Rule-Based Method for System-Level Fault Detection and Diagnostics in HVAC Systems. US Department of Commerce,[Technology Administration], National Institute of Standards and Technology, 2005. |
Shani, Guy, Joelle Pineau, and Robert Kaplow. “A survey of point-based POMDP solvers.” Autonomous Agents and Multi-Agent Systems 27.1 (2013): 1-51. |
Sheppard, John W., and Stephyn GW Butcher. “A formal analysis of fault diagnosis with d-matrices.” Journal of Electronic Testing 23.4 (2007): 309-322. |
Shneyderman, Alex et al., ‘Mobile VPN: Delivering Advanced Services in Next Generation Wireless Systems’, Jan. 1, 2003, pp. 3-29. |
Solis, Ignacio, and J. J. Garcia-Luna-Aceves. ‘Robust content dissemination in disrupted environments.’ proceedings of the third ACM workshop on Challenged networks. ACM, 2008. |
Sun, Ying, and Daniel S. Weld. “A framework for model-based repair.” AAAI. 1993. |
T. Ballardie, P. Francis, and J. Crowcroft, “Core Based Trees (CBT),” Proc. ACM SIGCOMM '88, Aug. 1988. |
T. Dierts, “The transport layer security (TLS) protocol version 1.2,” IETF RFC 5246, 2008. |
T. Koponen, M. Chawla, B.-G. Chun, A. Ermolinskiy, K.H. Kim, S. Shenker, and I. Stoica, ‘A data-oriented (and beyond) network architecture,’ ACM SIGCOMM Computer Communication Review, vol. 37, No. 4, pp. 181-192, Oct. 2007. |
V. Goyal, 0. Pandey, A. Sahai, and B. Waters, “Attribute-based encryption for fine-grained access control of encrypted data,” in Proc. ACM CCS 2006, Alexandria, VA, USA, Oct.-Nov. 2006, pp. 89-98. |
V. Jacobson, D.K. Smetters, J.D. Thornton, M.F. Plass, N. H. Briggs, and R.L. Braynard, ‘Networking named content,’ in Proc. ACM CoNEXT 2009, Rome, Italy, Dec. 2009, pp. 1-12. |
Verma, Vandi, Joquin Fernandez, and Reid Simmons. “Probabilistic models for monitoring and fault diagnosis.” The Second IARP and IEEE/RAS Joint Workshop on Technical Challenges for Dependable Robots in Human Environments. Ed. Raja Chatila. Oct. 2002. |
Vutukury, Srinivas, and J. J. Garcia-Luna-Aceves. A simple approximation to minimum-delay routing. vol. 29. No. 4. ACM, 1999. |
W.-G. Tzeng and Z.-J. Tzeng, “A public-key traitor tracing scheme with revocation using dynamic shares,” in Proc. PKC 2001, Cheju Island, Korea, Feb. 2001, pp. 207-224. |
Waldvogel, Marcel “Fast Longest Prefix Matching: Algorithms, Analysis, and Applications”, A dissertation submitted to the Swiss Federal Institute of Technology Zurich, 2002. |
Walker, Iain S. Best practices guide for residential HVAC Retrofits. No. LBNL-53592. Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US), 2003. |
Wang, Jiangzhe et al. “DMND: Collecting Data from Mobiles Using Named Data”, Vehicular Networking Conference, 2010 IEEE, pp. 49-56. |
Xylomenos, George, et al. “A survey of information-centric networking research.” Communications Surveys & Tutorials, IEEE 16.2 (2014): 1024-1049. |
Yi, Cheng, et al. ‘A case for stateful forwarding plane.’ Computer Communications 36.7 (2013): 779-791. |
Yi, Cheng, et al. ‘Adaptive forwarding in named data networking.’ ACM SIGCOMM computer communication review 42.3 (2012): 62-67. |
Zahariadis, Theodore, et al. “Trust management in wireless sensor networks.” European Transactions on Telecommunications 21.4 (2010): 386-395. |
Zhang, et al., “Named Data Networking (NDN) Project”, http://www.parc.com/publication/2709/named-data-networking-ndn-project.html, Oct. 2010, NDN-0001, PARC Tech Report. |
Zhang, Lixia, et al. ‘Named data networking.’ ACM SIGCOMM Computer Communication Review 44.3 {2014): 66-73. |
Soh et al., “Efficient Prefix Updates for IP Router Using Lexicographic Ordering and Updateable Address Set”, Jan. 2008, IEEE Transactions on Computers, vol. 57, No. 1. |
Beben et al., “Content Aware Network based on Virtual Infrastructure”, 2012 13th ACIS International Conference on Software Engineering. |
Biradar et al., “Review of multicast routing mechanisms in mobile ad hoc networks”, Aug. 16, Journal of Network and Computer Applications 35 (2012) 221-229. |
D. Trossen and G. Parisis, “Designing and realizing and information-centric internet,” IEEE Communications Magazing, vol. 50, No. 7, pp. 60-67, Jul. 2012. |
Garcia-Luna-Aceves et al., “Automatic Routing Using Multiple Prefix Labels”, 2012, IEEE, Ad Hoc and Sensor Networking Symposium. |
Gasti, Paolo et al., ‘DoS & DDoS in Named Data Networking’, 2013 22nd International Conference on Computer Communications and Networks (ICCCN), Aug. 2013, pp. 1-7. |
Ishiyama, “On the Effectiveness of Diffusive Content Caching in Content-Centric Networking”, Nov. 5, 2012, IEEE, Information and Telecommunication Technologies (APSITT), 2012 9th Asia-Pacific Symposium. |
J. Hur and D.K. Noh, “Attribute-based access control with efficient revocation in data outsourcing systers,” IEEE Trans. Parallel Distrib. Syst, vol. 22, No. 7, pp. 1214-1221, Jul. 2011. |
Kaya et al., “A Low Power Lookup Technique for Multi-Hashing Network Applications”, 2006 IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures, Mar. 2006. |
Hoque et al., “NLSR: Named-data Link State Routing Protocol”, Aug. 12, 2013, ICN'13. |
Nadeem Javaid, “Analysis and design of quality link metrics for routing protocols in Wireless Networks”, PhD Thesis Defense, Dec. 15, 2010, Universete Paris-Est. |
Wetherall, David, “Active Network vision and reality: Lessons form a capsule-based system”, ACM Symposium on Operating Systems Principles, Dec. 1, 1999. pp. 64-79. |
Kulkarni A.B. et al., “Implementation of a prototype active network”, IEEE, Open Architectures and Network Programming, Apr. 3, 1998, pp. 130-142. |
Xie et al. “Collaborative Forwarding and Caching in Content Centric Networks”, Networking 2012. |
Amadeo et al. “Design and Analysis of a Transport-Level Solution for Content-Centric VANETs”, University “Mediterranea” of Reggio Calabria, Jun. 15, 2013. |
Lui et al. (A TLV-Structured Data Naming Scheme for Content-Oriented Networking, pp. 5822-5827, International Workshop on the Network of the Future, Communications (ICC), 2012 IEEE International Conference on Jun. 10-15, 2012). |
Number | Date | Country | |
---|---|---|---|
20140344474 A1 | Nov 2014 | US |